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Routines for the diagonalization of complex matrices

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arxiv physics/0607103 v2 pith:T3K7HLZB submitted 2006-07-12 physics.comp-ph hep-ph

classification physics.comp-phhep-ph
keywords complexdecompositionmatricesalgorithmsavailablecompactdiagonalizationeigenvalue
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Jacobi-type iterative algorithms for the eigenvalue decomposition, singular value decomposition, and Takagi factorization of complex matrices are presented. They are implemented as compact Fortran 77 subroutines in a freely available library.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Seesaw neutrinos with one right-handed singlet field and a second Higgs doublet

    hep-ph 2019-09 conditional novelty 6.0 of 10

    In the one-singlet seesaw plus two-Higgs-doublet model, the neutrino Yukawa couplings can be expressed analytically through the measured neutrino masses, the PMNS matrix, and only two free parameters, phi' and lambda_D.

  2. A Non-Holomorphic Modular $A_4$ Framework for Resonant Leptogenesis with Gravitational Wave Signatures

    hep-ph 2026-07 conditional novelty 5.0 of 10

    A non-holomorphic modular A4 seesaw model yields quasi-degenerate right-handed neutrinos, enabling resonant leptogenesis at ~10^6 GeV and a double-peaked gravitational-wave signature.

  3. Sample efficient graph classification using binary Gaussian boson sampling

    quant-ph 2023-01 unverdicted novelty 5.0 of 10

    Binary-detector Gaussian boson sampling is proposed for sample-efficient graph classification, with an investigation into its connection to the Torontonian matrix function.

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